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NEW QUESTION: 1
Where are CIFS audit policies configured?
A. Command line, through the server_security command
B. VNX Data Mover management MMC snap-in
C. Uniphere, under Settings > Target Share > Properties > Advanced
D. Unisphere, under Settings > Monitoring & Alerts
Answer: B
Explanation:

NEW QUESTION: 2
あなたの会社には、Registry1という名前のAzure Container Registryがあります。
Windows Server 2019を実行するServer1という名前のAzure仮想マシンがあります。
Server1から、image1という名前のコンテナイメージを作成します。
image1をRegistry1に追加する必要があります。
Server1で実行するコマンドはどれですか。回答するには、回答領域で適切なオプションを選択します。
注：それぞれの正しい選択は1ポイントの価値があります。

Answer:
Explanation:

Explanation:
An Azure container registry stores and manages private Docker container images, similar to the way Docker Hub stores public Docker images. You can use the Docker command-line interface (Docker CLI) for login, push, pull, and other operations on your container registry.
Reference:
https://docs.microsoft.com/en-us/azure/container-registry/container-registry-get-started-docker-cli
https://docs.docker.com/engine/reference/commandline/push/

NEW QUESTION: 3
Scenario: A Citrix Administrator suspects an attack on a load-balancing vServer (IP address 192.168.100.25).
The administrator needs to restrict access to this vServer for 10 minutes.
Which Access Control List (ACL) will accomplish this?
A. add ns acl rule1 DENY -destIP 192.168.100.25 -TTL 600000
B. add simpleacl rule1 DENY -srcIP 192.168.100.25 -TTL 600000
C. add simpleacl rule1 DENY -srcIP 192.168.100.25 -TTL 600
D. add ns acl rule1 DENY -destIP 192.168.100.25 -TTL 600
Answer: D

NEW QUESTION: 4
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this scenario, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You plan to create an Azure Databricks workspace that has a tiered structure. The workspace will contain the following three workloads:
* A workload for data engineers who will use Python and SQL
* A workload for jobs that will run notebooks that use Python, Spark, Scala, and SQL
* A workload that data scientists will use to perform ad hoc analysis in Scala and R The enterprise architecture team at your company identifies the following standards for Databricks environments:
* The data engineers must share a cluster.
* The job cluster will be managed by using a request process whereby data scientists and data engineers provide packaged notebooks for deployment to the cluster.
* All the data scientists must be assigned their own cluster that terminates automatically after 120 minutes of inactivity. Currently, there are three data scientists.
You need to create the Databrick clusters for the workloads.
Solution: You create a Standard cluster for each data scientist, a High Concurrency cluster for the data engineers, and a High Concurrency cluster for the jobs.
Does this meet the goal?
A. No
B. Yes
Answer: B
Explanation:
Explanation
We need a High Concurrency cluster for the data engineers and the jobs.
Note:
Standard clusters are recommended for a single user. Standard can run workloads developed in any language:
Python, R, Scala, and SQL.
A high concurrency cluster is a managed cloud resource. The key benefits of high concurrency clusters are that they provide Apache Spark-native fine-grained sharing for maximum resource utilization and minimum query latencies.
References:
https://docs.azuredatabricks.net/clusters/configure.html